/// <summary>
/// the default constructor
/// </summary>
/// <param name="nMixtures"></param>
public MOG_GPU(int nMixtures = -1)
{
Cv2Gpu.ThrowIfGpuNotAvailable();
ptr = NativeMethods.gpu_MOG_GPU_new(nMixtures);
if (ptr == IntPtr.Zero)
{
throw new OpenCvSharpException();
}
}
/// <summary>
/// StereoBM_GPU コンストラクタ
/// </summary>
/// <param name="preset"></param>
/// <param name="ndisparities"></param>
/// <param name="winSize"></param>
#else
/// <summary>
/// StereoBM_GPU Constructor
/// </summary>
/// <param name="preset"></param>
/// <param name="ndisparities"></param>
/// <param name="winSize"></param>
#endif
public StereoBM_GPU(int preset, int ndisparities = DEFAULT_NDISP, int winSize = DEFAULT_WINSZ)
{
Cv2Gpu.ThrowIfGpuNotAvailable();
ptr = NativeMethods.gpu_StereoBM_GPU_new2(preset, ndisparities, winSize);
if (ptr == IntPtr.Zero)
{
throw new OpenCvSharpException();
}
}
/// <summary>
/// Constructor.
/// </summary>
/// <param name="threshold">Threshold on difference between intensity of the central pixel and pixels on a circle around this pixel.</param>
/// <param name="nonmaxSuppression">If it is true, non-maximum suppression is applied to detected corners (keypoints).</param>
/// <param name="keypointsRatio">Inner buffer size for keypoints store is determined as (keypointsRatio * image_width * image_height).</param>
public FAST_GPU(int threshold, bool nonmaxSuppression = true, double keypointsRatio = 0.05)
{
Cv2Gpu.ThrowIfGpuNotAvailable();
ptr = NativeMethods.gpu_FAST_GPU_new(threshold, nonmaxSuppression ? 1 : 0, keypointsRatio);
if (ptr == IntPtr.Zero)
{
throw new OpenCvSharpException();
}
}
/// <summary>
/// デフォルトのパラメータで初期化.
/// </summary>
#else
/// <summary>
/// Default constructor
/// </summary>
#endif
public StereoBM_GPU()
{
Cv2Gpu.ThrowIfGpuNotAvailable();
ptr = NativeMethods.gpu_StereoBM_GPU_new1();
if (ptr == IntPtr.Zero)
{
throw new OpenCvSharpException();
}
}
/// <summary>
/// CascadeClassifier_GPU Constructor
/// </summary>
/// <param name="fileName"></param>
public CascadeClassifier_GPU(string fileName)
{
Cv2Gpu.ThrowIfGpuNotAvailable();
ptr = NativeMethods.gpu_CascadeClassifier_GPU_new2(fileName);
if (ptr == IntPtr.Zero)
{
throw new OpenCvSharpException();
}
}
/// <summary>
/// Constructor.
/// </summary>
/// <param name="nFeatures">The number of desired features.</param>
/// <param name="scaleFactor">Coefficient by which we divide the dimensions from one scale pyramid level to the next.</param>
/// <param name="nLevels">The number of levels in the scale pyramid.</param>
/// <param name="edgeThreshold">How far from the boundary the points should be.</param>
/// <param name="firstLevel">The level at which the image is given. If 1, that means we will also look at the image scaleFactor times bigger.</param>
/// <param name="WTA_K"></param>
/// <param name="scoreType"></param>
/// <param name="patchSize"></param>
public ORB_GPU(int nFeatures = 500, float scaleFactor = 1.2f, int nLevels = 8, int edgeThreshold = 31,
int firstLevel = 0, int WTA_K = 2, ScoreType scoreType = 0, int patchSize = 31)
{
Cv2Gpu.ThrowIfGpuNotAvailable();
ptr = NativeMethods.gpu_ORB_GPU_new(
nFeatures, scaleFactor, nLevels, edgeThreshold,
firstLevel, WTA_K, (int)scoreType, patchSize);
if (ptr == IntPtr.Zero)
{
throw new OpenCvSharpException();
}
}
/// <summary>
/// Creates DeviceInfo object for the given GPU
/// </summary>
/// <param name="deviceId"></param>
public DeviceInfo(int deviceId)
{
Cv2Gpu.ThrowIfGpuNotAvailable();
ptr = NativeMethods.gpu_DeviceInfo_new2(deviceId);
}
/// <summary>
/// Creates DeviceInfo object for the current GPU
/// </summary>
public DeviceInfo()
{
Cv2Gpu.ThrowIfGpuNotAvailable();
ptr = NativeMethods.gpu_DeviceInfo_new1();
}